Title :
Prediction of Velocities on Motorways by k-Means Clustering
Author :
Asamer, Johannes ; Din, Kashif
Author_Institution :
Arsenal Res., Vienna
Abstract :
In this paper a method for the prediction of vehicle velocities is described that can be used for any point of time in the future. The approach is based on a two step clustering which uses toll transaction data of the training of the model. The results are different clusters for each road segment, containing the velocity value and its probability of occurrences. Furthermore the results of the method have been compared to a statistical method as well as to a neural network.
Keywords :
learning (artificial intelligence); probability; traffic engineering computing; transportation; k-means clustering; motorways; neural network; statistical method; toll transaction data; velocities prediction; Artificial intelligence; Clustering algorithms; Intelligent vehicles; Logistics; Neural networks; Predictive models; Probability; Roads; Statistical analysis; Traffic control; clustering; prediction; traffic;
Conference_Titel :
Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on
Conference_Location :
Atizapan de Zaragoza
Print_ISBN :
978-0-7695-3441-1
DOI :
10.1109/MICAI.2008.14
